Trajectory curves of post-COVID anxiety/depressive symptoms and sleep quality in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP-CM multicenter study

Fernández‐de‐las‐Peñas, César; Martín-Guerrero, José D.; Cancela-Cilleruelo, Ignacio; Moro-López-Menchero, Paloma; Rodríguez‐Jiménez, Jorge; Pellicer-Valero, Óscar J.

doi:10.1017/s003329172200006x

Cited by 27 publications

(23 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The two surveys reported different sequelae, and hence were regarded as two independent studies and included in the meta-analysis, while data on cough was included from the telephone follow-up only. Four articles which included one same cohort were included in the meta-analysis as four independent studies as they reported different symptoms [ 21 – 24 ]. The average follow-up time ranged from 90 days to 13.2 months and the size of follow-up cohorts ranged from 101 to 47,780.…”

Section: Resultsmentioning

confidence: 99%

Sequelae of COVID-19 among previously hospitalized patients up to 1 year after discharge: a systematic review and meta-analysis

Yang

Yan

et al. 2022

Infection

View full text Add to dashboard Cite

Objective Although complications and clinical symptoms of COVID-19 have been elucidated, the prevalence of long-term sequelae of COVID-19 is less clear in previously hospitalized COVID-19 patients. This review and meta-analysis present the occurrence of different symptoms up to 1 year of follow-up for previously hospitalized patients. Methods We performed a systematic review from PubMed and Web of Science using keywords such as “COVID-19”, “SARS-CoV-2”, “sequelae”, “long-term effect” and included studies with at least 3-month of follow-up. Meta-analyses using random-effects models were performed to estimate the pooled prevalence for different sequelae. Subgroup analyses were conducted by different follow-up time, regions, age and ICU admission. Results 72 articles were included in the meta-analyses after screening 11,620 articles, identifying a total of 167 sequelae related to COVID-19 from 88,769 patients. Commonly reported sequelae included fatigue (27.5%, 95% CI 22.4–33.3%, range 1.5–84.9%), somnipathy (20.1%, 95% CI 14.7–26.9%, range 1.2–64.8%), anxiety (18.0%, 95% CI 13.8–23.1%, range 0.6–47.8%), dyspnea (15.5%, 95% CI 11.3–20.9%, range 0.8–58.4%), PTSD (14.6%, 95% CI 11.3–18.7%, range 1.2–32.0%), hypomnesia (13.4%, 95% CI 8.4–20.7%, range 0.6–53.8%), arthralgia (12.9%, 95% CI 8.4–19.2%, range 0.0–47.8%), depression (12.7%, 95% CI 9.3–17.2%, range 0.6–37.5%), alopecia (11.2%, 95% CI 6.9–17.6%, range 0.0–47.0%) over 3–13.2 months of follow-up. The prevalence of most symptoms reduced after > 9 months of follow-up, but fatigue and somnipathy persisted in 26.2% and 15.1%, respectively, of the patients over a year. COVID-19 patients from Asia reported a lower prevalence than those from other regions. Conclusions This review identified a wide spectrum of COVID-19 sequelae in previously hospitalized COVID-19 patients, with some symptoms persisting up to 1 year. Management and rehabilitation strategies targeting these symptoms may improve quality of life of recovered patients. Supplementary Information The online version contains supplementary material available at 10.1007/s15010-022-01862-3.

show abstract

Section: Resultsmentioning

confidence: 99%

Sequelae of COVID-19 among previously hospitalized patients up to 1 year after discharge: a systematic review and meta-analysis

Yang

Yan

et al. 2022

Infection

View full text Add to dashboard Cite

show abstract

“…However, we did find associations between poor sleep and subsequent long COVID. Whilst sleep disturbances have been commonly reported in people suffering from long COVID [31,32], to our knowledge this is the first study to examine pre-infection sleep quality in relation to long COVID development. Lack of sleep can compromise both innate and adaptive immune function, making individuals more susceptible infectious disease, and reduce the effectiveness of vaccine response [14,15].…”

Section: Discussionmentioning

confidence: 96%

Health behaviours the month prior to COVID-19 infection and the development of self-reported long COVID and specific long COVID symptoms: a longitudinal analysis of 1581 UK adults

Paul

2022

BMC Public Health

View full text Add to dashboard Cite

Background Demographic and infection-related characteristics have been identified as risk factors for long COVID, but research on the influence of health behaviours (e.g., exercise, smoking) immediately preceding the index infection is lacking. The aim of this study was to examine whether specific health behaviours in the month preceding infection with COVID-19 act as upstream risk factors for long COVID as well as well as three specific long COVID symptoms. Methods One thousand five hundred eighty-one UK adults from the UCL COVID-19 Social Study and who had previously been infected with COVID-19 were analysed. Health behaviours in the month before infection were weekly exercise frequency, days of fresh air per week, sleep quality, smoking, consuming more than the number of recommended alcoholic drinks per week (> 14), and the number of mental health care behaviours (e.g., online mental health programme). Logistic regressions controlling for covariates (e.g., COVID-19 infection severity, socio-demographics, and pre-existing health conditions) examined the impact of health behaviours on long COVID and three long COVID symptoms (difficulty with mobility, cognition, and self-care). Results In the month before infection with COVID-19, poor quality sleep increased the odds of long COVID (odds ratio [OR]: 3.53; (95% confidence interval [CI]: 2.01 to 6.21), as did average quality sleep (OR: 2.44; 95% CI: 1.44 to 4.12). Having smoked (OR: 8.39; 95% CI: 1.86 to 37.91) increased and meeting recommended weekly physical activity guidelines (3h hours) (OR: 0.05; 95% CI: 0.01 to 0.39) reduced the likelihood of difficulty with self-care (e.g., washing all over or dressing) amongst those with long COVID. Conclusions Results point to the importance of sleep quality for long COVID, potentially helping to explain previously demonstrated links between stress and long COVID. Results also suggest that exercise and smoking may be modifiable risk factors for preventing the development of difficulty with self-care.

show abstract

“…On the contrary, Saunders et al observed that most individuals with anxiety or depression symptoms evolved positively during the first week after the COVID-19 lockdown [ 39 ]. The only study investigating the longitudinal evolution of anxiety and depressive symptoms in subjects with long COVID found that post-COVID anxiety and depressive symptoms tended to slowly recover during the following five years after the SARS-CoV-2 infection [ 40 ]. Finally, it is important to consider limitations related to the methodological design of the study.…”

Section: Discussionmentioning

confidence: 99%

Psychometric Properties of the Hospital Anxiety and Depression Scale (HADS) in Previously Hospitalized COVID-19 Patients

Fernández‐de‐las‐Peñas

Rodríguez‐Jiménez

Palacios‐Ceña

et al. 2022

IJERPH

Self Cite

View full text Add to dashboard Cite

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus is associated with psychological/emotional disturbances. This study aimed to assess internal consistency, reliability, and construct validity of the Hospital Anxiety and Depressive Scale (HADS), as a patient-reported outcome measure (PROM) for evaluating emotional consequences of SARS-CoV-2 in hospitalized COVID-19 survivors with long COVID. The LONG-COVID-EXP-CM is a multicenter cohort study including patients hospitalized by COVID-19 during the first wave of the pandemic in five hospitals in Madrid. A total of 1969 (age: 61 ± 16 years, 46.5% women) COVID-19 survivors experiencing post-COVID symptoms a mean of 8.4 ± 1.5 months after hospital discharge completed HADS. Internal consistency (Cronbach α), reliability (item-internal consistency, item-discriminant validity), construct validity (confirmatory factor analysis), and floor effect and ceiling effect were calculated. The mean time for fulfilling HADS was 65 ± 12 s. A ceiling effect ranging from 1.99% to 13.74% and a floor effect ranging from 43.05% to 77.77% was observed. Based on the item-scale correlation coefficients, the Cronbach’s alpha values reflecting the internal consistency reliability were 0.890 for the anxiety scale (HADS-A) and 0.856 for the depressive scale (HADS-D) The correlation coefficient between HADS-A and HADS-D scores was excellent (r: 0.878). The confirmatory factor analysis revealed that five out of the seven fitness indexes were excellent: CFI = 0.969, NNFI = 0.963; TLI = 0.963; AGFI = 0.951; GFI = 0.972), supporting good construct validity. In conclusion, this study indicates that both anxiety and depressive symptoms scales of HADS had overall good psychometric properties to be used for assessing psychological and emotional stress in COVID-19 survivors with long COVID.

show abstract

Trajectory curves of post-COVID anxiety/depressive symptoms and sleep quality in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP-CM multicenter study

Abstract: Pellicer-Valero OJ (2023). Trajectory curves of post-COVID anxiety/depressive symptoms and sleep quality in previously hospitalized COVID-19 survivors: the LONG-COVID-EXP-CM multicenter study.

Cited by 27 publications

References 8 publications

Sequelae of COVID-19 among previously hospitalized patients up to 1 year after discharge: a systematic review and meta-analysis

Sequelae of COVID-19 among previously hospitalized patients up to 1 year after discharge: a systematic review and meta-analysis

Health behaviours the month prior to COVID-19 infection and the development of self-reported long COVID and specific long COVID symptoms: a longitudinal analysis of 1581 UK adults

Psychometric Properties of the Hospital Anxiety and Depression Scale (HADS) in Previously Hospitalized COVID-19 Patients

Contact Info

Product

Resources

About